G05B2219/40455

MANAGING CONFLICTING INTERACTIONS BETWEEN A MOVABLE DEVICE AND POTENTIAL OBSTACLES
20220382286 · 2022-12-01 ·

In one aspect, a method of determining a risk of conflict between a movable device and potential obstacles is provided. The method includes dividing a space into a plurality of positions. At each of a plurality of successive times, the method further includes: determining a conflict function for the movable device in a first position at a respective time, the first position having one or more neighbouring positions, wherein the conflict function is determined based on whether or not an obstacle is present in any of the first position and the one or more neighbouring positions; and determining a respective risk value for at least one of the first position and the one or more neighbouring positions using the conflict function and a risk value associated with a second position, wherein the movable device is planned to move from the first position to the second position at a subsequent time.

TRAJECTORY PLAN GENERATION DEVICE, TRAJECTORY PLAN GENERATION METHOD, AND TRAJECTORY PLAN GENERATION PROGRAM
20220379473 · 2022-12-01 ·

A trajectory plan generation device executes a first search process for searching for a plurality of position candidates which are movement destinations of the tip portion within a predetermined distance from first trajectory information indicating positions and postures of the tip portion between the start point and the end point, a second search process for searching for a plurality of posture candidates of the tip portion that change within an allowable range by spherical interpolation based on postures of the tip portion at the start point and the end point, a determination process for determining second trajectory information indicating positions and postures of movement destinations of the tip portion from the first trajectory information based on the plurality of position candidates searched for by the first search process and the plurality of posture candidates searched for by the second search process, and an output process.

Deterministic robot path planning method for obstacle avoidance

The present teaching relates to a method and system for path planning. A target is tracked via one or more sensors. Information of a desired pose of an end-effector with respect to the target and a current pose of the end-effector is obtained. Also, a minimum distance permitted between an arm including the end-effector and each of at least one obstacle identified between the current pose of the end-effector and the target is obtained. A weighting factor previously learned is retrieved and a cost based on a cost function is computed in accordance with a weighted smallest distance between the arm including the end-effector and the at least one obstacle, wherein the smallest distance is weighted by the weighting factor. A trajectory is computed from the current pose to the desired pose by minimizing the cost function.

DETERMINISTIC ROBOT PATH PLANNING METHOD FOR OBSTACLE AVOIDANCE

The present teaching relates to a method and system for path planning. A target is tracked via one or more sensors. Information of a desired pose of an end-effector with respect to the target and a current pose of the end-effector is obtained. Also, a minimum distance permitted between an arm including the end-effector and each of at least one obstacle identified between the current pose of the end-effector and the target is obtained. A weighting factor previously learned is retrieved and a cost based on a cost function is computed in accordance with a weighted smallest distance between the arm including the end-effector and the at least one obstacle, wherein the smallest distance is weighted by the weighting factor. A trajectory is computed from the current pose to the desired pose by minimizing the cost function.

Obstacle search device of robot system
11628567 · 2023-04-18 · ·

Provided is an obstacle search device of a robot system, capable of creating a robot operation path in which it is not necessary to input information manually, human errors are eliminated, and the robot does not interfere with an obstacle efficiently and accurately. An obstacle search device of a robot system, for automatically specifying a region where an obstacle is present so that an operation path in which a robot does not interfere with an obstacle can be generated automatically includes: a non-contact three-dimensional measuring unit attached to the robot; and an obstacle search unit that searches for an obstacle in a search space using the three-dimensional measuring unit.

Trajectory generation of a robot using a neural network

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

TRAJECTORY GENERATION OF A ROBOT USING A NEURAL NETWORK

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

Social distancing devices and methods
11205328 · 2021-12-21 ·

A device for indicating appropriate social distancing includes the ability to project light (in various forms and in a various ways) onto the ground in a manner visible by the user and those around them. A boundary of the projected light can be set to an acceptable social distance and can include different colors to indicated varying social distances for varying levels of trusted individuals. Proximity sensors set to appropriate distancing requirements, along with the varying levels of trust can be implemented into multiple devices being used in a group setting.

Multi-objective robot path planning

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating paths for a robot based on optimizing multiple objectives. One of the methods includes: receiving, by a motion planner, request to generate a path for a robot between a start point and an end point in a workcell of the robot, wherein the workcell is associated with one or more soft margin values that define spaces in which the robot should avoid when transitioning between points in the workcell; classifying path segments within the workcell as being inside the soft margin or outside the soft margin; generating a respective cost for each of the plurality of path segments within the workcell; generating a plurality of alternative paths; evaluating the plurality of alternative paths according to the respective costs; and selecting an alternative path based on respective total costs of the plurality of alternative paths.

METHOD AND SYSTEM FOR OPERATING A ROBOT
20220219323 · 2022-07-14 ·

A method for operating at least one robot includes determining the minimum distance of the robot from an obstacle, in particular the closest obstacle to the robot, in particular excluding at least one previously known, in particular temporary, obstacle; reducing the maximum speed of the robot if this minimum distance is below a first minimum distance; and reducing this maximum speed of the robot more if the minimum distance is below a second minimum distance which is smaller than the first minimum distance.